Galip Cihan Yalçın , Karahan Kara , Pınar Gürol , Vladimir Simic , Dragan Pamucar
{"title":"提高航运业的运作效率和推广最佳做法:港务局绩效评估的决策支持模型","authors":"Galip Cihan Yalçın , Karahan Kara , Pınar Gürol , Vladimir Simic , Dragan Pamucar","doi":"10.1016/j.rtbm.2025.101450","DOIUrl":null,"url":null,"abstract":"<div><div>Port authorities are responsible for ensuring the successful execution of port operations and managing activities in compliance with international standards. The operational success of port authorities enhances the efficiency and effectiveness of port utilization. The primary objective of this study is to develop a decision support system for assessing the operational performance of port authorities. In this paper, the continuous Pythagorean fuzzy (CPF)-modified preference selection index (MPSI)-ranking technique by geometric mean of similarity ratio to optimal solution (RATGOS) hybrid method is proposed as the decision support system. This hybrid method employs CPF sets to determine expert weights based on both expertise levels and risk-taking tendencies. The weighting of operational performance criteria follows a dual approach, integrating subjective and objective methods. Subjective criteria weighting is conducted using CPF sets and expert evaluations, while objective criteria weighting is determined through the MPSI method. The operational performance levels and rankings of port authorities are then assessed using the RATGOS method. The CPF-MPSI-RATGOS hybrid method is applied in a case study of local port authorities (LPAs) managing container ports in Türkiye, using operational performance data and expert evaluations gathered through face-to-face interviews with qualified professionals possessing the necessary expertise to assess port authority performance. The findings indicate that “Ordino document submission time” is the most critical criterion in determining the operational performance levels of LPAs. Istanbul LPA is identified as the highest-performing authority in terms of operational efficiency. Based on the research outcomes, implications for LPAs and the maritime industry are proposed.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101450"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing operational efficiency and promoting best practices in the maritime industry: A decision support model for port authority performance evaluation\",\"authors\":\"Galip Cihan Yalçın , Karahan Kara , Pınar Gürol , Vladimir Simic , Dragan Pamucar\",\"doi\":\"10.1016/j.rtbm.2025.101450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Port authorities are responsible for ensuring the successful execution of port operations and managing activities in compliance with international standards. The operational success of port authorities enhances the efficiency and effectiveness of port utilization. The primary objective of this study is to develop a decision support system for assessing the operational performance of port authorities. In this paper, the continuous Pythagorean fuzzy (CPF)-modified preference selection index (MPSI)-ranking technique by geometric mean of similarity ratio to optimal solution (RATGOS) hybrid method is proposed as the decision support system. This hybrid method employs CPF sets to determine expert weights based on both expertise levels and risk-taking tendencies. The weighting of operational performance criteria follows a dual approach, integrating subjective and objective methods. Subjective criteria weighting is conducted using CPF sets and expert evaluations, while objective criteria weighting is determined through the MPSI method. The operational performance levels and rankings of port authorities are then assessed using the RATGOS method. The CPF-MPSI-RATGOS hybrid method is applied in a case study of local port authorities (LPAs) managing container ports in Türkiye, using operational performance data and expert evaluations gathered through face-to-face interviews with qualified professionals possessing the necessary expertise to assess port authority performance. The findings indicate that “Ordino document submission time” is the most critical criterion in determining the operational performance levels of LPAs. Istanbul LPA is identified as the highest-performing authority in terms of operational efficiency. 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Enhancing operational efficiency and promoting best practices in the maritime industry: A decision support model for port authority performance evaluation
Port authorities are responsible for ensuring the successful execution of port operations and managing activities in compliance with international standards. The operational success of port authorities enhances the efficiency and effectiveness of port utilization. The primary objective of this study is to develop a decision support system for assessing the operational performance of port authorities. In this paper, the continuous Pythagorean fuzzy (CPF)-modified preference selection index (MPSI)-ranking technique by geometric mean of similarity ratio to optimal solution (RATGOS) hybrid method is proposed as the decision support system. This hybrid method employs CPF sets to determine expert weights based on both expertise levels and risk-taking tendencies. The weighting of operational performance criteria follows a dual approach, integrating subjective and objective methods. Subjective criteria weighting is conducted using CPF sets and expert evaluations, while objective criteria weighting is determined through the MPSI method. The operational performance levels and rankings of port authorities are then assessed using the RATGOS method. The CPF-MPSI-RATGOS hybrid method is applied in a case study of local port authorities (LPAs) managing container ports in Türkiye, using operational performance data and expert evaluations gathered through face-to-face interviews with qualified professionals possessing the necessary expertise to assess port authority performance. The findings indicate that “Ordino document submission time” is the most critical criterion in determining the operational performance levels of LPAs. Istanbul LPA is identified as the highest-performing authority in terms of operational efficiency. Based on the research outcomes, implications for LPAs and the maritime industry are proposed.
期刊介绍:
Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector